Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World

• Другие авторы: Zhang, Yongqiang (Редактор), Ryu, Dongryeol (Редактор), Zheng, Donghai (Редактор)
• Формат: Электронный ресурс Глава книги
• Язык: английский
• Опубликовано: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Предметы: Research & information: general; rainfall monitoring; remote sensing; rain rate estimation; 5G; millimeter-wave; E-band; LOS-MIMO; UAV remote sensing; Ephemeral rivers; flood peak discharge; incipient motion; arid ungauged regions; flash flood; Integrated Multi-Satellite Retrievals for Global Precipitation Measurement; Rainfall Triggering Index; Yunnan; ecological water transfer; wetland vegetation ecosystem; surface and groundwater interaction; northwestern China; WRF-3DVar data assimilation; coupled atmospheric-hydrologic system; rainfall-runoff prediction; lumped Hebei model; grid-based Hebei model; WRF-Hydro modeling system; evapotranspiration; model; SWAT; calibration; regression; Sierra Nevada; flux tower; water limitation; vapor pressure deficit; double-mass analysis; coefficient of variability; seasonal ARIMA; MK-S trend analysis; evaporation; LAI; NDVI; urban ecosystem; sponge city; PML-V2; Penman-Monteith equation; Sentinel-2; assimilation frequency; data assimilation; WRF-3DAVR; radar reflectivity; rainfall forecast; urban flood; design rainfall; ungauged drainage basin; RainyDay; IDF formula; hydrological prediction; climate change; land use change
• Online-ссылка: DOAB: download the publication; DOAB: description of the publication

Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anth...